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Name: Kailash S
Type: User
Bio: for detail in concept: train()
Location: Richardson, Dallas, Texas
Name: Kailash S
Type: User
Bio: for detail in concept: train()
Location: Richardson, Dallas, Texas
Coffee ordering App with checkbox feature and the app is linked with Gmail App through Intent sending purchase summary to customer's mail I'd
Chatbot built using Dialogflow and Firebase that gives information on control of basic crop diseases and details about basic loans.
Classifying tweets as Racist and Non-Racist using FIVE different algorithms and performing comparative analysis among the algorithms in terms of accuracy and time.
A simple score counter for basket ball game
A guide to get started with your learning journey - Contributed to Machine Learning curriculum
Preprocessing Data to build an ML Model using R
Basic data visualizations, Statistics and Machine Learning algorithms are implemented using R Language
Built a Deep Convolutional Adversarial Neural Network (DCGAN) to generate realistic Fashion MNIST images
Implemented FOLD-R++ algorithm over 13 kaggle classification datasets and reported the performance metrics and observations
Parameters of extreme gradient boosting model are fine tuned to achieve better accuracy
Classifies news to be real or fake
Built an MVC API using Go language to perform basic CRUD operations on a MySQL database table
Basic concepts of Golang explained with illustrative codes
Created for Hacktoberfest. Each folder has some ML utilities that has been contributed as a part of every year of Hacktoberfest
A Multilayer perceptron model along with an opencv model is used to recognize English alphabets WRITTEN IN AIR using any object of specific color (a green bottle cap here) in real time.
A VGG16 model is built to identify free parking lots. Transfer learning is used while training the model.
This repository contains curated technical interview questions by fn+geeks community - One of the contributors to the repo
Welcome to the FnPlus community! π Add yourself as a contributor πhere.
Connecting the dots - solving murder mystery with evidences and testimonies.
Learning Challenge Season 2 - Secured top contributor of the challenge by making over 100 commits in a week on Python concepts
Performed univariate and bivariate analysis to understand the features and their relationships for loan approval prediction. Achieved highest accuracy of 98% for Extreme Gradient Boosting among all tested machine learning classification models.
Sentiment of a movie review is predicted using three different neural network models - MLP, CNN and LSTM. GloVe embedding is used for vector representation of words.
Source code added for all the topics I taught in my first ever webinar organised by ACE club of SVCE :)
Chatbot built using Dialogflow and Firebase that teaches basic OOPS concepts to the users.
A multiple regression model that estimates profit of a startup company based on parameter(s) which have impact over the profit of the startup.
A simple linear regression model is trained and built to predict salary of the employee based on his years of experience
Securing the tweet sentiment analysis in the ELK pipeline by hashing the identified sensitive terms in the tweets, followed by encryption before storing the tweets into S3 bucket.
Build and train a Bidirectional GRU model to predict the status of StackOverflow question. Visualized the data for each of the classes using Wordcloud, Bar chart, Treemap and Circle Packing
Gives corresponding Tamil pronunciation for basic English words. Tabs and Fragments are used in the layout for better user interface
Forecasting customer traffic of a specific form of transportation using SEVEN different forecasting methods based on past traffic data and performing comparative analysis in terms of RMSE.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.